Xiang Fu

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BU Coursework

A collection of courses I’ve taken at Boston University.

Here are some courses I’m eyeing—if I can make room for them!

H2 Spring 2026

Computing and Data Sciences

  • CDS DS 497 - Special Topics in Social and Behavioral Sciences: Data Science of the Mind
  • CDS DS 543 - Introduction to Reinforcement Learning
  • CDS DS 563 / CAS CS 543 - Algorithmic Techniques for Taming Big Data
  • CDS DS 592 - Special Topics in Mathematical and Computational Sciences
  • CDS DS 593 - Special Topics in Data Science Methodologies

Computer Science

  • CAS CS 400 - Type Theory and Mechanized Reasoning
  • CAS CS 541 - Applied Machine Learning
  • CAS CS 599 - Rounding Techniques in Approximation Algorithms

Linguistics

  • CAS LX 331 / GRS LX 631 / MET LX 531 - Semantics & Pragmatics: Introduction to Linguistic Meaning
  • CAS LX 390 / GRS LX 690 / MET LX 590 - Topics in Linguistics
  • CAS LX 422 / GRS LX 722 / MET LX 522 - Intermediate Syntax: Modeling Syntactic Knowledge
  • CAS LX 433 - Experimental Pragmatics

Philosophy

  • CAS PH 465 / GRS PH 665 - Philosophy of Cognitive Science

Here’s what I’ve completed, along with some I’m currently working through.

H2 Fall 2025

  • CAS LX 390 / GRS LX 690 - Topics in Linguistics: Cognitive Science of Language
  • CAS LX 390 / GRS LX 690 - Topics in Linguistics: Contemporary Research in Neural Network Models of Language
  • CAS CS 599 - Advanced Topics in Computer Science: Interpretable Machine Learning
  • CDS DS 522 / CAS MA 586 - Stochastic Methods for Algorithms
  • CDS DS 542 - Deep Learning for Data Science

H2 Summer 2025

  • CDS DS 490 - Directed Study in Computing & Data Sciences
  • CAS WR 153 - Writing, Research, & Inquiry with Creativity/Innovation: The Philosophy and Ethics of Artificial Intelligence
  • CAS AN 234 - Evolutionary Psychology
  • CAS PH 155 - Politics and Philosophy
  • WED LS 565 - Applied Linguistics: Language & Linguistics Survey

H2 Spring 2025

  • CAS CS 440 - Introduction to Artificial Intelligence
  • CAS CS 505 - Introduction to Natural Language Processing
  • CDS DS 380 / 680 - Data, Society, and AI Ethics

H2 Fall 2024

  • CDS DS 340 - Introduction to Machine Learning and AI
  • CDS DS 561 - Software Engineering Development on Modern Cloud Environments
  • CDS DS 562 / 598 - Special Topics in Machine Learning: Engineering for Big Data Solutions
  • CDS DS 430 / 630 / 596 - Special Topics in Natural, Biological and Medical Sciences: Introduction to Bioinformatics and Computational Biology
  • CAS MA 415 / GRS MA 615 - Data Science in R

H2 Summer 2024

  • CAS PS 101 - General Psychology
  • CAS PO 399 / 599 - Data Science for Politics
  • CAS SO 100 - Principles in Sociology
  • CAS PH 100 - Introduction to Philosophy

H2 Spring 2024

  • CAS LX 496 / GRS LX 796 / MET LX 596 - Computational Linguistics
  • CDS DS 320 - Algorithms for Data Science
  • CDS DS 453 / 653 - Crypto for Data Science
  • CDS DS 551 / 593 - Special Topics in Data Science Methodologies: Data Engineering at Scale
  • CDS DS 596 - Special Topics in Natural, Biological and Medical Sciences: Foundations of Biological Data Science

H2 Fall 2023

  • CDS DS 310 - Data Mechanics
  • CDS DS 122 - Foundations of Data Science III
  • CAS IR 376 / PO 381 - American Foreign Policy since 1945
  • CAS EE 100 - Environmental Change and Sustainability
  • SED ED 245 - Theory and Practice of Peer Counseling

H2 Summer 2023

  • CAS MA 214 - Applied Statistics
  • SAR HP 353 - Organization and Delivery of Health Care in the U.S.

H2 Spring 2023

  • CDS DS 210 - Programming for Data Science
  • CDS DS 121 - Foundations of Data Science II
  • CAS IR 350 / HI 334 - History of International Relations since 1945
  • CAS AH 395 - History of Photography
  • CAS WR 120 - First-Year Writing Seminar

H2 Fall 2022

  • CDS DS 110 - Introduction to Data Science with Python
  • CDS DS 120 - Foundations of Data Science I
  • CAS IR 271 / PO 171 - Introduction to International Relations
  • CAS WR 112 - Critical Literacies for ELL